aneequrrehman/recall
AI memory layer that lives in your stack
This is a library for developers to add 'memory' to their AI applications without deploying a separate service. It takes unstructured text, like chat conversations, and extracts key facts using AI. These facts are then stored in your existing database and can be retrieved later through natural language queries or structured lookups. It's designed for developers building AI-powered assistants, chatbots, or tools that need to remember past interactions.
Use this if you are a software engineer building AI applications and need to give them a persistent memory layer using your existing database and infrastructure, rather than introducing new services.
Not ideal if you are looking for a ready-to-use, off-the-shelf AI memory service that requires minimal coding or integration.
Stars
22
Forks
—
Language
TypeScript
License
MIT
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/aneequrrehman/recall"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
aiming-lab/SimpleMem
SimpleMem: Efficient Lifelong Memory for LLM Agents
zilliztech/memsearch
A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.
microsoft/kernel-memory
Research project. A Memory solution for users, teams, and applications.
zilliztech/GPTCache
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
TeleAI-UAGI/telemem
TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication,...